2023
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1. |
Asim, Muhammad; Hafeez, Sidrah; Matsuoka, Atsushi; Wong, Man Sing; Abbas, Sawaid; Eltoft, Torbjørn; Blix, Katalin. Atmospheric Correction of Landsat 8 Operational Land Imager (OLI), Sentinel-2 MultiSpectral Imager (MSI) over Asian, European and U.S Inland and Coastal waters.. IGARSS; 2023-07-16 - 2023-07-21 UiT
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2. |
Blix, Katalin. Machine Learning and XAI for Remote Sensing Optically Complex Waters. 3rd Workshop on AI and Optimization for Hyperspectral Image Processing; 2023-11-20 - 2023-11-21 UiT
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Blix, Katalin. Remote Sensing of Optically Complex Waters by Using Machine Learning Techniques . 54th International Liège Colloquium on Ocean Dynamics; 2023-05-08 - 2023-05-12 UiT
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4. |
Blix, Katalin. Robustness Evaluation of Machine Learning Methods for Remote Sensing of Optically Complex Waters. International Geoscience and Remote Sensing Symposium; 2023-07-16 - 2023-07-21 UiT
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5. |
Blix, Katalin; García-Jimenez, Jorge. Lake Balaton from Space - processing satellite imagery in practice. Balaton Limnological Research Institute Research Days; 2023-08-25 - 2023-08-25 UiT
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Kohlbach, Doreen; Goraguer, Lucie; Bodur, Yasemin V.; Müller, Oliver; Amargant Arumí, Martí; Blix, Katalin; Bratbak, Gunnar; Chierici, Melissa; Dabrowska, Anna Maria; Dietrich, Ulrike; Edvardsen, Bente; Martín, Laura; Gradinger, Rolf Rudolf; Hop, Haakon; Jones, Elizabeth Marie; Lundesgaard, Øyvind; Olsen, Lasse Mork; Reigstad, Marit; Saubrekka, Karoline; Tatarek, Agnieszka; Wiktor, Josef Maria; Wold, Anette; Assmy, Philipp. Earlier sea-ice melt extends the oligotrophic summer period in the Barents Sea with low algal biomass and associated low vertical flux. Progress in Oceanography 2023 ;Volum 213. s. - UiT HAVFORSK NPI UiB UNIS UiO
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7. |
Skjelvareid, Martin; Blix, Katalin; Hoarau, Galice Guillaume; Rinde, Eli; Hancke, Kasper. Mapping seagrass and rockweed habitats using UAV hyperspectral imaging and machine learning.. GeoHab 2023; 2023-05-08 - 2023-05-12 NIVA NORD UiT
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8. |
Skjelvareid, Martin; Blix, Katalin; Rinde, Eli; Hancke, Kasper; Hoarau, Galice Guillaume. Shallow water habitat mapping using UAV hyperspectral imaging. 13th International Temperate Reefs Symposium; 2023-01-08 - 2023-01-12 NIVA NORD UiT
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9. |
Skjelvareid, Martin Hansen; Rinde, Eli; Hancke, Kasper; Blix, Katalin; Hoarau, Galice Guillaume. Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation. IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 NORD NIVA UiT
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2022
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10. |
Asim, Muhammad; Brekke, Camilla; Eltoft, Torbjørn; Blix, Katalin. Optical Remote Sensing and Machine Learning for Water Quality Parameter Retrieval in the Barents Sea. Arctic Frontiers; 2022-05-08 - 2022-05-11 UiT
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11. |
Asim, Muhammad; Brekke, Camilla; Eltoft, Torbjørn; Blix, Katalin. Preliminary analysis of combined Sentinel-2 and Landsat-8 remote sensing reflectance products for improved monitoring of Chlorophyll-a over the Barents Sea. Ocean from Space; 2022-10-24 - 2022-10-28 UiT
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12. |
Asim, Muhammad; Matsuoka, Atsushi; Ellingsen, Pål Gunnar; Brekke, Camilla; Eltoft, Torbjørn; Blix, Katalin. A new spectral harmonization algorithm for Landsat-8 and Sentinel-2 remote sensing reflectance products using machine learning: a case study for the Barents Sea (European Arctic). IEEE Transactions on Geoscience and Remote Sensing 2022 ;Volum 61. UiT
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13. |
Blix, Katalin. Satellite remote sensing over ocean surfaces in the Arctic. Arctic Science and Summit Week; 2022-03-29 - 2022-03-29 UiT
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14. |
Blix, Katalin; Asim, Muhammad; Li, Huan; Eltoft, Torbjørn. Comparison of in-situ and Sentinel 3 OLCI radiometric measurements in Lake Balaton. 7th Sentinel 3 validation Team Meeting; 2022-10-18 - 2022-10-20 UiT
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15. |
Blix, Katalin; Tóth, Viktor R.. Machine learning methods for remote sensing of Lake Balaton. Hungarian Journal of Hydrology 2022 UiT
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16. |
Grue, Silje. Machine Learning for Classifying Marine Vegetation from Hyperspectral Drone Data in the Norwegian coast. UiT Norges arktiske universitet 2022 114 s. UiT
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17. |
Grue, Silje; Skjelvareid, Martin; Blix, Katalin. Machine Learning for Classifying Marine Vegetation from Hyperspectral Drone Data in the Norwegian coast. Arctic Science and Summit Week; 2022-03-29 - 2022-03-29 UiT
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18. |
Pereira-Sandoval, Marcela; Ruescas, Ana Belen; García-Jimenez, Jorge; Blix, Katalin; Delegido, Jesús; Moreno, José. Supervised Classifications of Optical Water Types in Spanish Inland Waters. Remote Sensing 2022 ;Volum 14.(21) UiT
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19. |
Skjelvareid, Martin; Hoarau, Galice Guillaume; Rinde, Eli; Hancke, Kasper; Blix, Katalin. Underwater vegetation mapping based on UAV hyperspectral imaging - a potential use case for semantic segmentation through deep learning. Northern Lights Deep Learning conference; 2022-01-10 - 2022-01-12 NIVA NORD UiT
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2021
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20. |
Blix, Katalin. Explainable Artificial Intelligence Techniques for Monitoring Arctic Coastal Waters. Nansen Legacy annual conference; 2021-10-25 - 2021-10-27 UiT
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21. |
Blix, Katalin. Machine learning methods for remote sensing Lake Balaton. LXII. Hydrobiology Days; 2021-10-06 - 2021-10-08 UiT
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22. |
Blix, Katalin. Machine learning methods in Earth Observation. CIRFA annual conference; 2021-10-19 - 2021-10-21 UiT
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23. |
Blix, Katalin. Machine learning to monitor Norwegian coastal waters. SCIENCE INSPIRATION DAY – SCIENCE FOR SCHOOLS; 2021-11-24 - 2021-11-24 UiT
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24. |
Blix, Katalin; Ruescas, Ana Belen; Johnson, Juan Emmanuel; Camps-Valls, Gustau. Learning Relevant Features of Optical Water Types. IEEE Geoscience and Remote Sensing Letters 2021 ;Volum 19. s. - UiT
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25. |
Blix, Katalin; Tóth, Viktor R.. Machine learning remote sensing of optical water types in large shallow lakes. Congress of the International Society of Limnology; 2021-08-22 - 2021-08-27 UiT
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26. |
Blix, Katalin; Tóth, Viktor R.. Mesterséges intelligencia a Balaton vízminőségének műholdas megfigyelésére. 12. MAGYAR ÖKOLÓGUS KONGRESSZUS; 2021-08-24 - 2021-08-26 UiT
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27. |
Eltoft, Torbjørn; Johansson, Malin; Doulgeris, Anthony Paul; Singha, Suman; Itkin, Polona; Blix, Katalin. Advancing information extraction on Arctic sea ice using a multi-sensor and multi-temporal integrated approach. The Joint PI Meeting of JAXA Earth Observation Missions FY2020; 2021-01-19 - 2021-02-22 UiT UiB
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2020
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28. |
Blix, Katalin. Innovative Technologies for Monitoring Arctic Waters with Upcoming Sensors. Arctic Frontiers 2020; 2020-01-26 - 2020-01-30 UiT
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29. |
Blix, Katalin. Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations. IEEE International Geoscience and Remote Sensing Symposium proceedings 2020 s. 5608-5611 UiT
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30. |
Blix, Katalin. Remote Sensing of Arctic Environments. Faglig seminar; 2020-02-28 UiT
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31. |
Blix, Katalin. Spatial and Informational Upscaling by Using Machine Learning Methods. CIRFA conference; 2020-10-12 - 2020-10-14 UiT
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32. |
Blix, Katalin; Espeseth, Martine; Eltoft, Torbjørn. Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric SAR Data. IEEE International Geoscience and Remote Sensing Symposium proceedings 2020 UiT
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33. |
Blix, Katalin; Espeseth, Martine; Eltoft, Torbjørn. Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing 2020 s. - UiT
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34. |
Blix, Katalin; Ruescas, Ana Belen; Johnson, Juan Emmanuel; Camps-Valls, Gustau. Machine Learning for Automatic Recognition of Optical Water Types in Arctic. 6th Sentinel 3 Validation Team Meeting; 2020-12-15 - 2020-12-17 UiT
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35. |
Woker, Hilde; Schartmüller, Bernhard; Dølven, Knut Ola; Blix, Katalin. The law of the sea and current practices of marine scientific research in the Arctic. Marine Policy 2020 ;Volum 115. UiT
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2019
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36. |
Blix, Katalin. Machine Learning for Monitoring Arctic Waters by using Sentinel 3 OLCI. 5th Sentinel 3 Validation Team Meeting; 2019-05-07 - 2019-05-09 UiT
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37. |
Blix, Katalin. Machine Learning for Remote Sensing Applications. Quebec Ocean seminar; 2019-03-06 - 2019-03-06 UiT
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38. |
Blix, Katalin. Machine Learning for Remote Sensing of Arctic waters. Quebec Ocean seminar, UQAR; 2019-03-29 - 2019-03-29 UiT
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39. |
Blix, Katalin. Machine Learning Water Quality Monitoring. Tromsø: UiT the Arctic University of Norway 2019 123 s. UiT
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40. |
Blix, Katalin; Eltoft, Torbjørn. A Generalized Chlorophyll-a Estimation Model for Complexity-Diverse Waters. International Geoscience and Remote Sensing Symposium (IGARSS); 2019-07-28 - 2019-08-02 UiT
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41. |
Blix, Katalin; Eltoft, Torbjørn. Machine Learning Remote Sensing for Ecosystem Monitoring in the Arctic. Arctic Frontiers 2019; 2019-01-20 - 2019-01-24 UiT
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42. |
Blix, Katalin; Li, Juan; Massicotte, Philippe; Matsuoka, Atsushi. Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI. Remote Sensing 2019 ;Volum 11.(18) UiT
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43. |
Blix, Katalin; Pálffy, Károly; Tóth, Viktor R.; Eltoft, Torbjørn. Machine Learning for Remote Sensing Complex Waters. International Ocean Colour Science meeting; 2019-04-08 - 2019-04-12 UiT
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44. |
Dølven, Knut Ola; Woker, Hilde; Schartmüller, Bernhard; Blix, Katalin. The Law of the Sea and Marine Scientific Research in the Arctic. AMGG Research School Annual Meeting 2019; 2019-11-08 UiT
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2018
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45. |
Blix, Katalin. Intervju med Balatonfured TV om fjernmåling av vannkvalitet. [TV] 2018-10-03 UiT
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46. |
Blix, Katalin. Kan teknologi redde vannet vårt?. Nordlys, UiT [Avis] 2018-10-15 UiT
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47. |
Blix, Katalin. Machine Learning Gaussian Process Regression for Remote Sensing Applications. CIRFA seminar; 2018-08-30 - 2018-08-30 UiT
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48. |
Blix, Katalin. MESTERSÉGES INTELLIGENCIA A BALATON VÍZMINŐSÉGÉNEK MEGFIGYELÉSERE. Lx. Hidrobiologus Napok; 2018-10-03 - 2018-10-05 UiT
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49. |
Blix, Katalin. Validation of Sentinel-3A OLCI Level-2 water-quality products over Lake Balaton. Sentinel 3 Validation Team Meeting; 2018-03-13 - 2018-03-15 UiT
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50. |
Blix, Katalin; Eltoft, Torbjørn. Evaluation of feature ranking and regression methods for oceanic chlorophyll-a estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018 ;Volum 11.(5) s. 1403-1418 UiT
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